Build Your Own Local DeepSeek-Powered VS Code Extension
Insights from the Beyond Fireship episode “I built a DeepSeek R1 powered VS Code extension…”, published January 28, 2025.
In "I built a DeepSeek R1 powered VS Code extension…" (Beyond Fireship, January 2025), you can replace expensive AI subscriptions by running DeepSeek R1 locally via Ollama and integrating it directly into VS Code. This tutorial demonstrates how to create a custom extension that allows you to chat with the model within your editor, providing full data privacy and complete control over your AI-assisted coding workflow.
In "I built a DeepSeek R1 powered VS Code extension…" (Beyond Fireship, January 2025), the intended audience is: Developers interested in local AI integration, open-source enthusiasts, and those looking to build custom productivity tools in VS Code.
You can replace expensive AI subscriptions by running DeepSeek R1 locally via Ollama and integrating it directly into VS Code. This tutorial demonstrates how to create a custom extension that allows you to chat with the model within your editor, providing full data privacy and complete control over your AI-assisted coding workflow.
Developers interested in local AI integration, open-source enthusiasts, and those looking to build custom productivity tools in VS Code.
Topics: DeepSeek, VS Code Extension, Local LLM, Ollama, AI Development
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You can replace expensive AI subscriptions by running DeepSeek R1 locally via Ollama and integrating it directly into VS Code. This tutorial demonstrates how to create a custom extension that allows you to chat with the model within your editor, providing full data privacy and complete control over your AI-assisted coding workflow.
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